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大肠杆菌长期实验中形态稳定性的进化动力学

Evolutionary dynamics of morphological stability in a long-term experiment with Escherichia coli.

作者信息

Cui Fangshu, Yuan Bo

机构信息

Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.

出版信息

IET Syst Biol. 2015 Feb;9(1):25-30. doi: 10.1049/iet-syb.2013.0059.

Abstract

To investigate the questions in morphological evolution, some biologists seek to carry out evolution experiments owing to the incompleteness and uncontrollability of the fossil record and natural populations. To quantitatively analyse the morphology (cell size) evolution observed from a long-term experiment with Escherichia coli, the authors present three mathematical approximations to the Wright-Fisher model of the morphological evolution. They firstly use a deterministic approximation, which fails to predict evolutionary dynamics of cell size and proves the importance of stochasticity in large populations. Then, they develop a stochastic approximation and derive an analytic expression for the anticipated waiting time to reach the stability of cell size. The results show that the calculation of this waiting time is in good agreement with the experimental data and that the selective advantage plays a prominent role in cell size evolution, with mutation rate and population size having less impact. Finally, they employ a multistep process to approximate the Wright-Fisher model of cell size evolution and acquire an analytical formula for the median waiting time until the stability of cell size. This median time supports the idea that the selective advantage is the dominant force for the morphological evolution in the long-term experiment.

摘要

为了探究形态进化中的问题,由于化石记录和自然种群的不完整性及不可控性,一些生物学家试图开展进化实验。为了定量分析从大肠杆菌的长期实验中观察到的形态(细胞大小)进化,作者提出了三种对形态进化的赖特 - 费希尔模型的数学近似方法。他们首先使用了确定性近似,该近似未能预测细胞大小的进化动态,并证明了在大种群中随机性的重要性。然后,他们开发了一种随机近似,并推导出了达到细胞大小稳定性的预期等待时间的解析表达式。结果表明,该等待时间的计算与实验数据吻合良好,并且选择优势在细胞大小进化中起显著作用,而突变率和种群大小的影响较小。最后,他们采用多步过程来近似细胞大小进化的赖特 - 费希尔模型,并获得了直到细胞大小稳定的中位等待时间的解析公式。这个中位时间支持了选择优势是长期实验中形态进化的主导力量这一观点。

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本文引用的文献

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Model of lymphoma from stochastic analysis.随机分析淋巴瘤模型。
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